Elevate customer success at Databricks as a Backline Engineer specializing in Data & AI. Utilize deep expertise to troubleshoot complex systems and optimize performance in a hybrid work model. As a senior Backline Engineer at Databricks, you will be pivotal in addressing intricate technical issues that enhance the Data and AI ecosystem.

Your role emphasizes advanced troubleshooting, root cause analysis, and architectural optimizations, ensuring seamless customer support through automation and productive tooling. Collaborating with product engineering, you will help influence roadmaps and drive impactful product improvements. Key Responsibilities:
Conduct deep-dive troubleshooting on Spark core internals
Perform advanced code-level root cause analysis




Optimize architectural performance across Data and AI
Analyze trend patterns to improve product supportability
Develop automated workflows and AI-driven diagnostic tools

Requirements:
10+ years of relevant experience in Data & AI
Expertise in Spark, Delta Lake, or machine learning systems
Proficiency in Python, SQL, or Scala programming
Robust problem-solving and analytical skills
Ability to facilitate collaboration between technical teams

Drive exceptional customer experiences through your technical acumen and passion for Data & AI at Databricks.

📌 Backline Engineer For Data & Ai Vancouver
🏢 Databricks
📍 Vancouver